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The Tragedy of Generative AI

Yes, I have no patience for perfecting image prompts using AI.

Listen up, tech oligarchs; lend an ear, simpering brohanions. We’re doing this generative AI thing all wrong, and if you continue down your current path, your house of cards will fall, leaving all of us wanting, but most importantly, leaving you out of power. And given that you value power over all else, it strikes me it might be in your own self interest to consider an alternate path.

Here’s the problem: you’ve managed to convince nearly all of us that sometime real soon, generative AI will deliver us powerful services that will automate nearly every difficult and/or deadly boring task we currently have to perform. From booking complex yet perfectly priced itineraries to delivering personalized health diagnoses that vastly outperform even the most cogent physician, your AI agents have us starstruck, bedazzled, and breath-baited.*

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Technology, Humanity, and the Existential Test

I’m still digging through some of the pieces I posted at the now defunct NewCo Shift, and found this piece, adapted from a talk I gave at the Thrival Humans X Tech conference in Pittsburgh back in September of 2018. I was alarmed by trends that I saw intensifying – a push by the tech industry to deregulate their power, the growing influence of private company algorithms on public domains, the rise of autocratic politics and “technocapitalism.” Six years later, it feels like I could give this talk again today, nearly word for word – and it’d be even more relevant.

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What’s SearchGPT Really About? Moving Past the Training Data Dilemma.

This morning we awoke to one story dominating the tech news landscape: OpenAI is “expanding into search,” launching SearchGPT, a prototype that appears to be a direct competitor to Google (and Bing and Perplexity, not that they really matter). But despite the voluminous coverage, my initial take is that once the hype cycle passes – I give it a day or two – OpenAI’s true goal will emerge: fixing the optics of its approach to training data.

The company doesn’t have the resources to take on Google on its core turf. So why announce SearchGPT now? This is speculation, but I’d wager it’s because the company is in a perilous place. It built its business – one that could lose up to $5 billion this year – by scarfing up the entire Internet, mostly without permission. It’s facing a serious backlash from both established publishers and governments. In response, it’s been busy cutting deals with as many partners as it can, and this search prototype feels driven by those optics.

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Can GenAI Change Big Companies?

A quick note to point you toward this piece I wrote for P&G’s Signal publication. Since its inception, I’ve been co-editor of the monthly outlet, which covers innovation in large enterprise. This month I went in search of proof that the hype around generative AI – fueled in large part by both Google and Microsoft – had any merit. Turns out, it actually does. It’s still early, but the two examples I found, at Air India and Bayer, show tangible results and some promising implications for more impact to come.

Back in the day, I used to cover what was once called “corporate computing.” I got to dust off some old skills and talk to some interesting folks. Give it a read, and let me know what you think.

Working with AI in the Enterprise

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Will GenAI Kill The Web?

The Atlantic is out with a delicious piece of doomerism: It’s The End of the Web As We Know It. Were it not for the authors, Judith Donath and Bruce Schneier, I’d have passed right on by, because well-respected publications have been proclaiming the death of the Web for more than a decade. By and large they’ve been proven directionally right, but it’s taking a lot longer than most predicted. Much like the Earth’s coral reefs, the Web has been dying off in waves. In their piece, Donath and Schneier argue that generative AI augurs the Web’s final stage of life. The coup de GPT, if you will.

Donath and Schneier are more thoughtful than your average trend-spotting feature writers. Donath, a fellow at Harvard’s Berkman Center, is the kind of digital polymath I’ve admired for years, but who’s been relatively quiet of late. No longer. And Schneier, a security expert, writes smart stuff about nearly everything I care about as it relates to the Internet. It’s fair to say I’ll read just about anything he writes.

Mine, Mine, All Mine

The original MusicPlasma interface. Author’s musical preferences not included…

No Longer Mine

When I write, I like to listen to music. Most of my first book was written to a series of CDs I purchased from Amazon and ripped to my Mac – early turn of the century electronica, for the most part – Prodigy, Moby, Fat Boy Slim and the like. But as I write these words, I’m listening to an unfamiliar playlist on Spotify called “Brain Food” – and while the general vibe is close to what I want, something is missing.

This got me thinking about my music collection – or, more accurately, the fact that I no longer have a music collection. I once considered myself pretty connected to a certain part of the scene – I’d buy 10 or 15 albums a month, and I’d spend hours each day consuming and considering new music, usually while working or writing. Digital technologies were actually pretty useful in this pursuit – when Spotify launched in 2008, I used it to curate playlists of the music I had purchased – it’s hard to believe, but back then, you could organize Spotify around your collection, tracks that lived on your computer, tracks that, for all intents and purposes, you owned. Spotify was like having a magic digital assistant that made my ownership that much more powerful.

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Larry Lessig – Why Can’t We Regulate the Internet Like We Regulate Real Space?

I’ve known Larry Lessig for more than 25 years, and throughout that time, I’ve looked to him for wisdom – and a bit of pique – when it comes to understanding the complex interplay of law, technology, and the future of the Internet. Lessig is currently the Roy L. Furman Professor of Law and Leadership at Harvard Law School. He also taught at Stanford Law School, where he founded the Center for Internet and Society, and at the University of Chicago. He is the author of more than half a dozen books, most of which have deeply impacted my own thinking and writing.

As part of an ongoing speaker series “The Internet We Deserve,” a collaboration with Northeastern’s Burnes Center For Social Change, I had a chance to sit down with Lessig and conduct a wide-ranging discussion covering his views on the impact of money in government’s role as a regulator of last resort. Lessig is particularly concerned about today’s AI-driven information environment, which he says has polluted public discourse and threatens our ability to conduct democratic processes like elections. Below is a transcript of our conversation, which, caveat emptor, is an edited version of AI-assisted output. The video can be found here, and embedded at the bottom of this article.

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Vint Cerf: Maybe We Need an Internet Driver’s License

Vint Cerf is one of the most recognizable figures in the pantheon of Internet stardom – and as he enters his ninth decade of a remarkable life, one of its most accomplished. I had the honor of interviewing Dr. Cerf last month as part of the “Rebooting Democracy in the Age of AI” lecture series hosted by the Burnes Center for Social Change at Northeastern University. The conversation also served as the kick-off to my own Burnes Center lecture series, “The Internet We Deserve” where I’ll talk with notable business, policy, technology and academic leaders central to the creation of the Internet as we know it today (last week I spoke with Larry Lessig).

Universally recognized as one of “the fathers of the Internet,” Cerf’s many awards include the National Medal of Technology, the Turing Award, the Presidential Medal of Freedom, the Marconi Prize, and membership in the National Academy of Engineering. Dr. Cerf received his PhD from UCLA, where he worked in the famous lab that built the first nodes of what later became known as the Internet. He has worked at IBM, DARPA, MCI, JPL, and is now Chief Internet Evangelist at Google. Cerf has chaired, formed, and participated in countless working groups, governing bodies, and scientific, technological, and academic organizations.

Google’s On The Field Now. Is It Being Too Cautious?

As hype escalated around the debut of ChatGPT more than a year ago, I predicted that OpenAI and Microsoft would rapidly develop consumer subscription service models for their nascent businesses. Later that year I wrote a piece speculating that Google would inevitably follow suit. If Google was smart, and careful, it had a chance to become “the world’s largest subscription service.” From that piece:

Google can’t afford to fall behind as its closest competitors throw massive resources at AI-driven products and services. But beyond keeping up, Google finds itself in an even higher-stakes transition: Its core business, search, may be shifting into an entirely new consumer model that threatens the very foundation of the company’s cash flow spigot: Advertising.

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Category: AI

The Tragedy of Generative AI

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Technology, Humanity, and the Existential Test

What’s SearchGPT Really About? Moving Past the Training Data Dilemma.

Can GenAI Change Big Companies?

Larry Lessig – Why Can’t We Regulate the Internet Like We Regulate Real Space?

Vint Cerf: Maybe We Need an Internet Driver’s License

Google’s On The Field Now. Is It Being Too Cautious?

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